Compared to chained architectures, Langroid's multi-intelligent body model is more adept at handling non-linear complex tasks. For example, a research assistant can be composed of three intelligences, search, information extraction and report generation, each maintaining independent state and dialog history. The intelligences collaborate through asynchronous message passing, supporting streaming responses and real-time interactions. The architecture can simulate business processes or social systems, observe system behavior through the interaction of role-based intelligences, and provide an interpretable simulation environment for complex problem solving.
This answer comes from the articleLangroid: Easily Navigating Large Language Models with Multi-Intelligent Body ProgrammingThe
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